Sharad Nandanwar

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #21,191 of 35,345 by trust here, #31,361 by citations
• Graph Learning — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Statistical and Nonlinear Physics — 7 citations into it; #5,526 of 10,127 by trust here, #8,564 by citations
• Information Systems — 5 citations into it

Whom Sharad Nandanwar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Lei Tang
2. J. Platt
3. Alex Smola
4. Xiaojin Zhu
5. Andrew Y. Ng
6. Huan Liu
7. David Liben-Nowell
8. Min-Ling Zhang
9. Xi Wang
10. Risi Kondor

Who trusts Sharad Nandanwar overall

1. Eliav Buchnik
2. Edith Cohen
3. Johannes Klicpera

Papers from Sharad Nandanwar's perspective

Ordered by how strongly the researchers Sharad Nandanwar trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Structural Neighborhood Based Classification of Nodes in a Network (2016) — 56 citations